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Content Provider | IEEE Xplore Digital Library |
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Author | Jaiswal, A. George, V. |
Copyright Year | 2015 |
Description | Author affiliation: Dept. of Inf. Technol., Christ Univ., Bangalore, India (Jaiswal, A.) || Dept. of Comput. Sci. & Eng., Christ Univ., Bangalore, India (George, V.) |
Abstract | In this paper we present an enhanced algorithm with modified approach to extricate various Triplets i.e. subject-predicate-object from Natural language sentences. The Treebank Structure and the Typed Dependencies obtained from Stanford Parser are used to elicit multiple triplets from English Sentences. Typed Dependencies represents grammatical connections among the words of any sentence and represents how triplets are associated. The intended interpretation behind the extraction of Triplets is that the subject is acting on the object in a way described by the predicate. In graphical form it can be considered that subject and object will be acting as nodes i.e. entities and predicate as edges i.e. relationship. The resulting triplets and relations can be useful for building and analysis of a social network graph and for generating communication pattern and Information retrieval. |
Starting Page | 36 |
Ending Page | 40 |
File Size | 190104 |
Page Count | 5 |
File Format | |
e-ISBN | 9781479988907 |
DOI | 10.1109/CCAA.2015.7148367 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-05-15 |
Publisher Place | India |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Automation Conferences Parsing Natural languages Random access memory Artificial neural networks Relationship Syntactics Information retrieval Extraction Pragmatics Triplets |
Content Type | Text |
Resource Type | Article |
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